GMT733 - ADVANCED DIGITAL PHOTOGRAMMETRY

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
ADVANCED DIGITAL PHOTOGRAMMETRY GMT733 Any Semester/Year 3 0 3 10
Prequisites-
Course languageEnglish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Question and Answer
Drill and Practice
 
Instructor (s)Prof.Dr.Ali ÖZGÃœN OK 
Course objectiveTo give brief explanation about digital photogrammetry, the trend from digital photogrammetry to computer vision, automatic measurements and digital photogrammetric systems. 
Learning outcomes
  1. The students who successfully completed this course:
  2. understand the basics of digital photogrammetry,
  3. learn and apply the automatic measurements and algorithms,
  4. learn how to use hardware and software?s in digital photogrammetric mapping,
  5. perform 3D viewing on digital images,
  6. learn the techniques of generating DTM and ortho-photo.
Course ContentGeneral definitions of digital photogrammetry. Automatic measurements. Image piramids and epipolar image in digital photogrammetry. Image orientation methods. 3D viewing technologies and computer vision. Automatic DEM producing. Ortho-photo generation. 
References- Photogrammetry lecture notes, Cevdet Coşkun Aydın, 2015.
- Photogrammetry Vol: I?II, Karl Kraus, Dümmler&Verlag, 1993.
- Digital Photogrammetry, Volume I: Background, Fundamentals, Automatic Orientation Procedures, Schenk, T., Terra Science, U.S.A., 1999.
- Digital Photogrammetry - A Practical Course, Linder, W., Springer-Verlag, Berlin, Heidelberg, 2006. 

Course outline weekly

WeeksTopics
Week 1The history and the basics of digital photogrammmety
Week 2Digital image and digital arial cameras (sensors
Week 3Digital camera images and coordinate measurements (pixel and image)
Week 4Digital camera images and coordinate measurements (pixel and image)
Week 5Image pyramids and epipolar image in digital photogrammetry
Week 6Image pyramids and epipolar image in digital photogrammetry
Week 7Digital matching and image matching methods
Week 83D viewing technologies and computer vision
Week 9Midterm Exam
Week 10Automatic image orientation
Week 11Automatic DEM producing, image rectification
Week 12Week 12 Digital ortho-photo generation
Week 13Managing the data, Applications area of digital photogrammetry
Week 14Photogrammetric applications, trends
Week 15Preparation for the final exam
Week 16Final Exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments115
Presentation110
Project00
Seminar00
Midterms125
Final exam150
Total100
Percentage of semester activities contributing grade succes350
Percentage of final exam contributing grade succes150
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14798
Presentation / Seminar Preparation21020
Project000
Homework assignment81080
Midterms (Study duration)12020
Final Exam (Study duration) 13030
Total Workload4080290

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Advances contemporary knowledge in the field of geomatics engineering based on novel thinking and research.   X 
2. Possesses creative and critical thinking, problem solving, and decision making abilities.   X 
3. Conducts a thorough novel research from scratch independently.    X
4. Acquires interdisciplinary knowledge of common terminology and joint working culture.  X  
5. Cooperates with national and international scientific research groups.  X  
6. Attains the capacity to publish an international peer-reviewed journal manuscript.     X
7. Maintains ethical responsibility.  X   
8. Obtains the skills to teach undergraduate and graduate level courses offered in geomatics engineering.  X  
9. Conducts verbal-written communication, surveys the literature, and prepares thesis in advanced level English.   X 

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest